The number of clients is \(n=20\)  and there is full participation in one round of communication. The training data is split among the clients using a Dirichlet distribution as in [1]} using the Dirichlet parameter \(\alpha \) . With the lowest \(\alpha = 0.01\) , clients see almost entirely one class of images. With the highest \(\alpha =10.24\) , each client sees a substantial number of images from every class.
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